A realistic graph-based alert correlation system

This paper introduces a graph-based attack description that comes with different analysis methods for alert correlation. The system encompasses an attack scenario detection method, an alert correlation method that recognizes multistep attacks, and graph-based classification method to extract different types of alerts. The performance analysis shows that the system can correlate a huge number of alerts (more than 442000 alerts) into a dozens of attack graphs. The attack graph has permitted us to extract several attack properties with high precision. Copyright (c) 2015 John Wiley & Sons, Ltd.